Squad Reviewer
outlier project involving penetrating test cases
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I have hands-on experience working with large datasets and developing AI models, with a strong focus on data preparation and annotation for machine learning projects. Through my roles as a Machine Learning Intern and Graduate Trainee, I have processed and analyzed data for training pre-trained transformers, developed NLP and computer vision models, and implemented advanced document retrieval systems using Retrieval-Augmented Generation (RAG). My academic background in AI and computing has equipped me with deep knowledge of Python, TensorFlow, PyTorch, Keras, and data-centric workflows. I am skilled in designing, testing, and refining machine learning pipelines, and have worked on projects involving sentiment analysis, document classification, and real-world data integration. My experience collaborating with cross-functional teams and my attention to data quality ensure that I can contribute effectively to data labeling and AI training data initiatives.
outlier project involving penetrating test cases
Master of Information Technology, Information Technology in Artificial Intelligence
Bachelor of Science, Computing and Software Systems
Graduate Trainee
Machine Learning Intern